Ciocanel Razvan's starred repositories
iron-butterfly-trading-strategy
Strategy implementation and backtester for the iron butterfly options trading strategy, used on 3 months of SPX options data. Found a weak-moderate negative correlation between iron butterfly profit and VIX (an indicator for volatility in the S&P 500), as expected.
monte_carlo_simulation
This library allows you to run Monte Carlo simulations on time series
twitter_demos
A repository of demonstrations, from the twitter threads here: https://twitter.com/DrDanobi
Battery-Toolkit
Control the platform power state of your Apple Silicon Mac.
gpt-auto-blog-writer
🤖 Auto Content Generator: A .NET 8 API that leverages OpenAI's GPT-4o to automatically generate markdown formatted blog posts, commit the new file, and create a pull request on your GitHub repository. Easy setup with environment variables and customizable prompts.
mobiledoc-py
A Python package aimed to simplify the processing of the mobiledoc format.
Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
finance_ml
Advances in Financial Machine Learning
gpt-researcher
GPT based autonomous agent that does online comprehensive research on any given topic
Stock_Analysis_For_Quant
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
pysystemtrade
Systematic Trading in python
TensorFlow-stocks-prediction-Machine-learning-RealTime
Predict operation stocks points (buy-sell) with past technical patterns, and powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM..Real time Twitter:
support_resistance
Small package that helps to find support and resistance levels and plot them on chart
Chrome-GPT
An AutoGPT agent that controls Chrome on your desktop
quivr
Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, Groq that you can share with users ! Efficient retrieval augmented generation framework
StockSharp
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
stockstats
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.